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AUSDM
2006
Springer
93views Data Mining» more  AUSDM 2006»
14 years 11 days ago
Visualisation and Exploration of Scientific Data Using Graphs
Abstract. We present a prototype application for graph-based data exploration and mining, with particular emphasis on scientific data. The application has a Flash-based graphical i...
Ben Raymond, Lee Belbin
AUSDM
2006
Springer
114views Data Mining» more  AUSDM 2006»
14 years 11 days ago
Consolidated Trees: An Analysis of Structural Convergence
When different subsamples of the same data set are used to induce classification trees, the structure of the built classifiers is very different. The stability of the structure of ...
Jesús M. Pérez, Javier Muguerza, Ola...
AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
14 years 11 days ago
The Scamseek Project - Text Mining for Financial Scams on the Internet
The Scamseek project, as commissioned by ASIC has the principal objective of building an industrially viable system that retrieves potential scam candidate documents from the Inte...
Jon Patrick
AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
14 years 11 days ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
14 years 11 days ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
CINQ
2004
Springer
180views Database» more  CINQ 2004»
14 years 11 days ago
Interactivity, Scalability and Resource Control for Efficient KDD Support in DBMS
The conflict between resource consumption and query performance in the data mining context often has no satisfactory solution. This not only stands in sharp contrast to the need of...
Matthias Gimbel, Michael Klein, Peter C. Lockemann
CINQ
2004
Springer
151views Database» more  CINQ 2004»
14 years 11 days ago
Query Languages Supporting Descriptive Rule Mining: A Comparative Study
Recently, inductive databases (IDBs) have been proposed to tackle the problem of knowledge discovery from huge databases. With an IDB, the user/analyst performs a set of very diffe...
Marco Botta, Jean-François Boulicaut, Cyril...
CCGRID
2004
IEEE
14 years 11 days ago
Privacy-preserving association rule mining in large-scale distributed systems
Data privacy is a major concern that threatens the widespread deployment of Data Grids in domains such as health-care and finance. We propose a unique approach for obtaining knowl...
Assaf Schuster, Ran Wolff, Bobi Gilburd
APCHI
2004
IEEE
14 years 11 days ago
Evolutionary Approaches to Visualisation and Knowledge Discovery
Haiku is a data mining system which combines the best properties of human and machine discovery. An self organising visualisation system is coupled with a genetic algorithm to prov...
Russell Beale, Andy Pryke, Robert J. Hendley
ADMA
2006
Springer
192views Data Mining» more  ADMA 2006»
14 years 11 days ago
GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming
This work describes the use of a recently proposed technique
Wagner Rodrigo Weinert, Heitor S. Lopes